🛣️
AI EngineeringMATLAB

RoadRunner Scenario Authoring

by matlab

RoadRunner Scenario Authoring is an AI Engineering skill for Claude Code, published by matlab in matlab-agentic-toolkit.

938 stars115 forkson matlab/matlab-agentic-toolkitAdded 2026/08/21+2% in starsRepository updated 2026/08/13
agent-skillsclaude-codecodex-pluginengineering-agentsgithub-copilotmatlabmatlab-mcp-server
Install in seconds
Install RoadRunner Scenario Authoring
Copy RoadRunner Scenario Authoring into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/roadrunner-scenario-authoring ~/.claude/skills/roadrunner-scenario-authoring

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/matlab/matlab-agentic-toolkit.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills-catalog/automotive/roadrunner-scenario-authoring/SKILL.md in matlab/matlab-agentic-toolkit
Installs to
~/.claude/skills/roadrunner-scenario-authoring
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What RoadRunner Scenario Authoring does

RoadRunner Scenario Authoring programmatically creates RoadRunner scenarios from MATLAB using roadrunnerAPI. Use it to add actors, routes, phase logic, and scenario patterns like cut-ins or pedestrian crossings.

RoadRunner Scenario Authoring is cataloged under AI Engineering on DirSkills. RoadRunner Scenario Authoring comes from a repository tagged agent-skills, claude-code, codex-plugin, engineering-agents and github-copilot.

Documentation

README

RoadRunner Scenario Authoring

Programmatically create RoadRunner scenarios from MATLAB: actors, routes, phase logic, and validation — all via roadrunnerAPI.

When to Use

  • Adding actors (vehicles, pedestrians, objects) to a RoadRunner scenario
  • Creating routes and waypoints for actors
  • Building scenario logic: phases, conditions, actions
  • Authoring common patterns: cut-in, pedestrian crossing, lead-follow, emergency brake
  • Placing actors on roads using anchor-based or HD Map positioning
  • Validating scenario structure before simulation

When NOT to Use

This is the opening of the README. Read the full README on GitHub.

Frequently asked about RoadRunner Scenario Authoring

  • What else does matlab publish alongside RoadRunner Scenario Authoring?

    RoadRunner Scenario Authoring is one of 25 skills that DirSkills catalogs from matlab/matlab-agentic-toolkit, the repository it ships in. Its siblings there include Aerospace Fundamentals, Build RoadRunner Scenario From OpenSCENARIO and Compute Aerospace Environment. Each one is a separate skill with its own page in this directory, installs the same way RoadRunner Scenario Authoring does, and is maintained by matlab in that same repository. The rest of the collection is listed on the matlab/matlab-agentic-toolkit page.

  • How does RoadRunner Scenario Authoring compare to other AI Engineering skills?

    RoadRunner Scenario Authoring ranks #1451 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of RoadRunner Scenario Authoring against them. Open each page to compare what they document and how they install.

More from matlab/matlab-agentic-toolkit

RoadRunner Scenario Authoring is one of 25 skills cataloged on DirSkills from matlab/matlab-agentic-toolkit.

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Build RoadRunner Scenario From OpenSCENARIO

Build RoadRunner Scenario From OpenSCENARIO recreates a RoadRunner scenario from an OpenSCENARIO 1.x file using MATLAB. Use it to convert a .xosc into a programmatic scenario script, including positions, trajectories, references, and logic that can be mapped.
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Driving Data Importer

Driving Data Importer loads raw driving sensor logs into scenariobuilder objects and runs preprocessing such as sync, crop, offset correction, and timestamp normalization. Use it when converting datasets like KITTI, nuScenes, Waymo, ROS bags, or CSV/MAT/video files for later scenario work.
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